Grants and Contributions

The Tenant Experience Index is a proprietary metric that quantifies the degree to which commercial property managers engage their tenants via building events, digital communications (e.g. e-newsletters), social media, property technology (proptech) platforms, and other tenant touch points. There is currently no way for property managers to measure the degree to which they engage their tenants; the ability to measure engagement is crucial, since tenant engagement is directly correlated with lease renewal rates and net effective rents, both of which are integral to a property manager's success. The Tenant Engagement Index ultimately allows property managers to determine the return on their investment in tenant experience.

The project aims to produce a strategic plan for the company's development.

The project aims to develop an intelligent firm service management solution to improve the performance, services and results of business teams while eliminating the burden of manual tasks.

Hiring of a university new graduate to help Dragonfly's R&D team in new product development to facilitate quicker time to market.

This project focuses on engaging a youth to support improving financial reporting accuracy, streamlining processes, and conducting cost/benefit analyses to enhance profitability and operational efficiency, with activities ranging from transactional coordination to KPI development, under the CFO's guidance.

Participation in the ITEA PO Days held in Berlin, Germany, Sept 11-15, 2023.

The project will support development of intellectual property capacity within the firm.

This project will increase Spectra Plasmonics' detection capabilities by adding to the detection library, more drug compounds that are found in a real-world setting.

The role of a Marketing Coordinator is to spearhead our expansion into the USA market. As we grow in the energy industry, we require a skilled professional to coordinate marketing activities, manage events and tradeshows across North America, maintain our website, and ensure successful product launches in Canada and the USA.

The Modelar 3D mapping system uses inexpensive mobile devices (iPhones and iPads) with LiDAR sensors to quickly scan areas and create 3D point clouds and triangulated meshes in real-time. It can then upload the resulting information to a cloud management system to manage, organize, and visualize the collected data. The 3D point clouds and meshes that Modelar now collects are inherently useful, but augmenting them with spatially referenced annotations, high-resolution imagery, video and audio would make them more valuable for inspection workflows. We propose to enhance Modelar so that it can collect this data in the field, manage it in the cloud, and extract meaningful content from it using machine learning.